<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on WANG Zhaofeng · Course Portfolio</title><link>https://zzefone.github.io/myblog/tags/llm/</link><description>Recent content in LLM on WANG Zhaofeng · Course Portfolio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 19 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://zzefone.github.io/myblog/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>HCI Lab: Streaming Chat in Unity with the DeepSeek API</title><link>https://zzefone.github.io/myblog/posts/hci-lab-llm-unity-deepseek/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0000</pubDate><guid>https://zzefone.github.io/myblog/posts/hci-lab-llm-unity-deepseek/</guid><description>&lt;p&gt;The lab asks us to build a chat character in Unity, then study how people experience the interaction. I replaced the local LLMUnity model with the DeepSeek API to avoid downloading and running a model on this PC. The chat still streams its answer and locks the input until the reply finishes.&lt;/p&gt;&#10;&lt;p&gt;This changes the lab&amp;rsquo;s offline setup: internet access and API credit are required, and the measured delay includes the network and provider. It is an API-based adaptation. The course deck specifies Unity 6 with URP; this UI-only project uses Unity 6000.0.23f1, the Built-in Render Pipeline and TextMeshPro. Acceptance of these changes is for the instructor to confirm.&lt;/p&gt;</description></item></channel></rss>